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Senior AI Developer

Bankdata

Industry
Information Technology & Services
Location
Silkeborg, Denmark
Work mode
-
Job type
Full-time
Annual salary
Not specified
Minimum experience
7+ years
Posted
25th September, 2026

Required skills

Artificial IntelligenceMachine LearningLarge Language Models (LLMs)AI AgentsGenerative AICRMIntegrationLandscape DesignData QualityData IntegrityQuality AssuranceAPIsPythonJavaData Engineering

About the role

Translated into English from Danish by Korum. The employer's original wording is on their site.

The banking sector is in the middle of a significant shift. Rising customer demands and complex operations are challenging the traditional way of delivering advice and service. At the same time, much of advisory work is based on patterns and data - and this is where artificial intelligence can help reduce costs, improve customer relationships and make banks more competitive.

At Bankdata, we have over the last few years built experience with classic Machine Learning, LLM-based solutions and AI agents for more complex tasks and hyper-personalised solutions. This has laid a solid foundation for our continued work.

Bankdata is investing significantly in AI and has a clear ambition to make the technology a central part of the banking solutions of the future. You will become part of this endeavour and will play a key role in developing, operating and building enterprise-grade GenAI solutions directly into mobile banking, CRM and other business-critical platforms.

The role: From AI concepts to stable production

You will become a key profile in taking AI solutions all the way to production. This means that you will not only work with LLMs and the latest GenAI frameworks, but also with what makes solutions sustainable: data, integrations and backend architecture.

You will:

  • Build GenAI and agent systems with integration into the existing system landscape

  • Design agent flows that challenge the status quo

  • Ensure data quality and data integrity in solutions that handle business-critical data

  • Work on evaluation and quality assurance of non-deterministic solutions

  • Develop APIs and integrations to existing platforms

  • Build production-ready systems and ensure stable operations

You will work across the stack but with a clear emphasis on backend and data.

What success looks like after 6-12 months
  • You have helped build and launch at least one AI-based business solution in production

  • The solution is used by real users (customers or advisors) in concrete work processes

  • Documentation of the solution's business effect (proof-of-value) has been established

  • You have implemented robust data pipelines with clear handling of data quality and data integrity

  • GenAI components are stably integrated with existing platforms

  • You have taken responsibility for and actively contributed to preparing the necessary compliance documentation.

The team: Front-runner in AI with a focus on delivering AI business value in production

You will join an ambitious and experienced AI team (NewTech) that is particularly strong at turning new GenAI technologies and concepts into concrete solutions with real business value. We work safely in a technology landscape characterised by high complexity, uncertainty and constant change - and we have experience in quickly narrowing the possibilities down to a clear scope, prioritised functionality and a solution that can be tested in practice.

We combine experimentation and high development speed with solid engineering, quality evaluation, integration, security and compliance. We work mission-based with clear goals, short feedback loops and significant responsibility for your own work. Things move fast, and we prioritise progress highly - without losing focus on building robust AI solutions that can function in a complex enterprise context.

The profile we are looking for: Backend-heavy AI developer with solid data and technology understanding

We are looking for someone who cannot help keeping up with AI progress, but who also respects customer-facing AI.

You have experience with:

  • Backend development: Software solutions in Python and Java as well as APIs and integrations

  • GenAI and agent systems: LLMs, GenAI frameworks, agent systems, skills and agent harnesses

  • Data engineering: Data pipelines, data quality and data integrity

  • Cloud and DevOps: Cloud platforms, preferably Azure, as well as CI/CD and stable operations

  • Production maturity of customer-facing ML or AI solutions: Evaluation, quality assurance and responsible use in an enterprise context.

We are open to both experienced profiles and promising developers who are early in their careers. The most important thing is that you are ambitious and have the drive both to build innovative solutions and to take responsibility.

You thrive when you:

  • Take ownership rather than waiting for direction

  • Find solutions in complexity and uncertainty

  • Prioritise progress without compromising on quality

  • would rather solve the problem than analyse why it is difficult

Development opportunities: Set the direction for AI in production

You get the opportunity to:

  • Take greater technical responsibility in the team

  • Drive solutions in collaboration with banks

  • Help define architecture and standards for GenAI

Ready to build AI that gets used?

If you want to work with AI in a context where it has to work in reality - not just in a demo - then let us start a dialogue.

Welcome to Bankdata

Bankdata builds software for the financial sector. We are nearly 1,100 colleagues on the team, and we develop digital products, platforms and infrastructure that approximately every third Dane, 200,000 companies and several thousand bank employees use every day.

We believe in structured personal development, a solid collegial community and that ambitious employees with flexible and sustainable working lives perform better. Find out more about working life at Bankdata here.

At Bankdata we work purposefully to promote diversity among our employees, and we therefore encourage everyone regardless of gender identity, age and cultural background to apply for jobs with us.

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